Triple
T19731276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kichaka |
E473858
|
entity |
| Predicate | timeFrameOfRole |
P124485
|
FINISHED |
| Object | Pandavas’ thirteenth year of exile |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pandavas’ thirteenth year of exile | Statement: [Kichaka, timeFrameOfRole, Pandavas’ thirteenth year of exile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeFrameOfRole Context triple: [Kichaka, timeFrameOfRole, Pandavas’ thirteenth year of exile]
-
A.
timeFrameSpecified
Indicates that a specific temporal period or duration has been explicitly defined or constrained for the related event, action, or relationship.
-
B.
timeCycleRole
Indicates a role or function that an entity plays within a recurring or cyclical time pattern (such as a specific position or duty in a repeated time cycle).
-
C.
roleInFrame
chosen
Indicates that an entity participates in a specific semantic frame by filling a particular role within that frame.
-
D.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
E.
timeframeApproximate
Indicates that the time period associated with an event or relation is not exact but only roughly or loosely specified.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fd18148190a6e85b2be0069dde |
completed | April 20, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.